A computational theory of grounding in natural language conversation
A computational theory of grounding in natural language conversation
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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Artificial Intelligence
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Computer Speech and Language
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IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Multiparty turn taking in situated dialog: study, lessons, and directions
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
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This paper introduces a simulation-based framework for performing action selection and understanding for interactive agents. By simulating the objects and actions relevant to an interaction, an agent can semantically ground natural language and interact considerately and on its own initiative in situated environments. The framework proposed in this paper leverages models of the environment, user and system to predict possible future world states via simulation. It leverages understanding of spoken language and multi-modal input to estimate the state of the ongoing interaction and select actions based on the utility of future outcomes in the simulated world. In this paper we introduce this framework and demonstrate its effectiveness for in-car navigation.